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Table · dataset · 2022

awacke1/MedNorm2SnomedCT2UMLS

Listed in Hugging Face Datasets

Description

MedNorm2SnomedCT2UMLS Paper on Mednorm and harmonisation: aclanthology.org/W19-3204.pdf The medical concept normalisation task aims to map textual descriptions to standard terminologies such as SNOMED-CT or MedDRA. Existing publicly available datasets annotated using different terminologies cannot be simply merged and utilised, and therefore become less valuable when developing machine learningbased concept normalisation systems.

To address that, we designed a data harmonisation… See the full description on the dataset page: huggingface.co/datasets/awacke1/MedNorm2SnomedCT2UMLS.

Links

Catalogue records · 1

Topics

Stated by source
tabular · text
Inferred from text
Information systems 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsawacke1/MedNorm2SnomedCT2UMLS15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4609enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0